Quality of online signature templates

Napa Sae-Bae, Nasir Memon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a metric to measure the quality of an online signature template derived from a set of enrolled signature samples in terms of its distinctiveness against random signatures. Particularly, the proposed quality score is computed based on statistical analysis of histogram features that are used as part of an online signature representation. Experiments performed on three datasets consistently confirm the effectiveness of the proposed metric as an indication of false acceptance rate against random forgeries when the system is operated at a particular decision threshold. Finally, the use of the proposed quality metric to enforce a minimum signature strength policy in order to enhance security and reliability of the system against random forgeries is demonstrated.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Identity, Security and Behavior Analysis, ISBA 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479919741
DOIs
StatePublished - Jun 16 2015
Event2015 IEEE International Conference on Identity, Security and Behavior Analysis, ISBA 2015 - Hong Kong, Hong Kong
Duration: Mar 23 2015Mar 25 2015

Publication series

Name2015 IEEE International Conference on Identity, Security and Behavior Analysis, ISBA 2015

Other

Other2015 IEEE International Conference on Identity, Security and Behavior Analysis, ISBA 2015
Country/TerritoryHong Kong
CityHong Kong
Period3/23/153/25/15

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science (miscellaneous)
  • Computer Science Applications

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